Tuning Mechanical Properties in Polycrystalline Solids Using a Deep Generative Framework-Reference-Cited by-同舟云学术

Tuning Mechanical Properties in Polycrystalline Solids Using a Deep Generative Framework

Published:2021-01-21 Issue:4 Volume:23 Page:2001339
ISSN:1438-1656
Container-title:Advanced Engineering Materials
language:en
Short-container-title:Adv. Eng. Mater.

Author:

Hsu Yu-Chuan¹,Yu Chi-Hua²³,Buehler Markus J.²⁴⁵^ORCID

Affiliation:

1. Department of Civil Engineering National Taiwan University No. 1, Sec. 4, Roosevelt Rd. Taipei 10617 Taiwan

2. Laboratory for Atomistic and Molecular Mechanics (LAMM) Massachusetts Institute of Technology 77 Massachusetts Ave. Cambridge MA 02139 USA

3. Department of Engineering Science National Cheng Kung University No. 1, University Road Tainan City 701 Taiwan

4. Center for Computational Science and Engineering Schwarzman College of Computing Massachusetts Institute of Technology 77 Massachusetts Ave. Cambridge MA 02139 USA

5. Center for Materials Science and Engineering 77 Massachusetts Ave. Cambridge MA 02139 USA

Funder

Air Force Office of Scientific Research

Ministry of Science and Technology, Taiwan

Publisher

Wiley

Subject

Condensed Matter Physics,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adem.202001339

Reference31 articles.

1. The Effective Modulus of Random Checkerboard Plates

2. Hierarchical multi-scale modelling of plasticity of submicron thin metal films

3. Atomistic and continuum studies of crack-like diffusion wedges and associated dislocation mechanisms in thin films on substrates

4. Molecular mechanics of polycrystalline graphene with enhanced fracture toughness

5. Design of Crystalline Solids

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